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investment-research-team

investment-research-team is a skill for Claude Code, Codex from YellowPancake/Finance_Toolkit. It costs 109 tokens per session (919 once invoked), scanned A, original, no licence file.

An investment-research skill that answers questions about investments, stocks, funds, and industries using a five-person team structure: leader, planner, opposing advisers, and reviewer. Its description is in Chinese.

In plain words
What is it for?
For researching a stock, fund, industry, or investment decision, including arguments for and against it and a review of the reasoning.
Why use it?
It organises investment answers into different viewpoints and a final checked summary. Investment decisions still require the user’s own judgement.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 13repo 4mo ago A scan 109 tokens custom licence

Good fit For researching a stock, fund, industry, or investment decision, including arguments for and against it and a review of the reasoning.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yellowpancake/finance_toolkit/investment-research-team
View source ↗ YellowPancake/Finance_Toolkit
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add YellowPancake/Finance_Toolkit --skill investment-research-team
Clone the repo
git clone --depth 1 https://github.com/YellowPancake/Finance_Toolkit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for investment-research-team

README.md
[![agentmods](https://agentmods.dev/badge/skills/yellowpancake/finance_toolkit/investment-research-team/github.svg)](https://agentmods.dev/skills/yellowpancake/finance_toolkit/investment-research-team)
Your own site
<a href="https://agentmods.dev/skills/yellowpancake/finance_toolkit/investment-research-team"><img src="https://agentmods.dev/badge/skills/yellowpancake/finance_toolkit/investment-research-team/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for investment-research-team

Your own site · 80×15
<a href="https://agentmods.dev/skills/yellowpancake/finance_toolkit/investment-research-team"><img src="https://agentmods.dev/badge/skills/yellowpancake/finance_toolkit/investment-research-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 919 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.00919
Opus 5.5 $0.00044 $0.00368
Sonnet 5.5 $0.00022 $0.00184
Haiku 4.5 $0.00011 $0.00092

Measured 2mo ago against content hash 1f741a98b4b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

investment-research-team scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

02_投资研究团队/investment-research-team/SKILL.md · 50 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 50 lines · 109 tokens per session scan A 1f741a98b4b1

Subscribe to this mod's changes

investment-research-team is a skill published in the GitHub repository YellowPancake/Finance_Toolkit (13 stars, last pushed 4mo ago), with no licence file. It adds 109 tokens to every session and 919 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Finance and fintechResearch
Related

investment-research-team compared with skills from other repositories

investment-research-team next to 6 skills from other repositories
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